Within the cognitive theory of multimedia learning framework,this study explores the practical path to realize the deep learning of mobile terminal-based English vocabulary.It also discusses how to stimulate learners...Within the cognitive theory of multimedia learning framework,this study explores the practical path to realize the deep learning of mobile terminal-based English vocabulary.It also discusses how to stimulate learners’positive emotions to learn actively,construct a mental lexicon,and encourage learners to use high-order thinking to realize the transfer and innovation of knowledge.展开更多
Vocabulary is the basis of language learning. The study of vocabulary is an important part of second language acquisition research field. This article mainly reviews external factors that influence the second language...Vocabulary is the basis of language learning. The study of vocabulary is an important part of second language acquisition research field. This article mainly reviews external factors that influence the second language vocabulary acquisition research at home in recent years. It emphatically summarizes the effect of input and output on vocabulary acquisition, vocabulary teaching,that will provide some suggestions for the future vocabulary acquisition.展开更多
Language input in foreign language classrooms is no longer restricted to one particular mode of transmission,but it can be achieved by use of different modes.Multimodality or the combination of various modes has been ...Language input in foreign language classrooms is no longer restricted to one particular mode of transmission,but it can be achieved by use of different modes.Multimodality or the combination of various modes has been applied to stimulate foreign language learning.The present paper aims to verify the effectiveness of multimodal input in language learning.It demonstrates the experiment conducted in two freshman classes in a university.The two classes used the same textbook supported by audio CD containing the recorded material.The experiment class,however,additionally has some visuals in listening classes to strengthen the linguistic input.The research lasted for one semester and findings from the study show that multimodal input has significantly improved the listening and speaking abilities of the students and also has positive impacts on the learners’attitudes towards language study.展开更多
Gesture recognition technology enables machines to read human gestures and has significant application prospects in the fields of human-computer interaction and sign language translation.Existing researches usually us...Gesture recognition technology enables machines to read human gestures and has significant application prospects in the fields of human-computer interaction and sign language translation.Existing researches usually use convolutional neural networks to extract features directly from raw gesture data for gesture recognition,but the networks are affected by much interference information in the input data and thus fit to some unimportant features.In this paper,we proposed a novel method for encoding spatio-temporal information,which can enhance the key features required for gesture recognition,such as shape,structure,contour,position and hand motion of gestures,thereby improving the accuracy of gesture recognition.This encoding method can encode arbitrarily multiple frames of gesture data into a single frame of the spatio-temporal feature map and use the spatio-temporal feature map as the input to the neural network.This can guide the model to fit important features while avoiding the use of complex recurrent network structures to extract temporal features.In addition,we designed two sub-networks and trained the model using a sub-network pre-training strategy that trains the sub-networks first and then the entire network,so as to avoid the subnetworks focusing too much on the information of a single category feature and being overly influenced by each other’s features.Experimental results on two public gesture datasets show that the proposed spatio-temporal information encoding method achieves advanced accuracy.展开更多
基金This article is a key topic of the“13th Five-Year Plan”of Education Science of Jilin Province in 2020:Research on the Effectiveness of Gamified Mobile Learning on Vocabulary Learning of College English Learners(Project Number:ZD20056)a general topic of the“14th Five-Year-Plan”of Education Science of Jilin Province in 2021:Research on the Effectiveness of Deep Learning of Mobile Terminal-based English Vocabulary from a Multimodal Perspective(Project Number:GH21422)2022 Research Topic on Higher Education Teaching Reform of Boda College of Jilin Normal University:Exploration and Practical Research on Ideological and Political Education in Blended English Teaching Courses in Private Colleges based on the OBE Concept,a general topic of Jilin Provincial Department of Education Scientific Research Project in 2024:A Practical Study on Cultivating the Ability of Chinese Culture Communication among College Students from the Perspective of Content and Language Integration.
文摘Within the cognitive theory of multimedia learning framework,this study explores the practical path to realize the deep learning of mobile terminal-based English vocabulary.It also discusses how to stimulate learners’positive emotions to learn actively,construct a mental lexicon,and encourage learners to use high-order thinking to realize the transfer and innovation of knowledge.
文摘Vocabulary is the basis of language learning. The study of vocabulary is an important part of second language acquisition research field. This article mainly reviews external factors that influence the second language vocabulary acquisition research at home in recent years. It emphatically summarizes the effect of input and output on vocabulary acquisition, vocabulary teaching,that will provide some suggestions for the future vocabulary acquisition.
基金My sincere thanks should be expressed to Martha Michieka,associate professor at East Tennessee State University,Johnson City,TN,USA,who has provided valuable advice for me in writing this paper.
文摘Language input in foreign language classrooms is no longer restricted to one particular mode of transmission,but it can be achieved by use of different modes.Multimodality or the combination of various modes has been applied to stimulate foreign language learning.The present paper aims to verify the effectiveness of multimodal input in language learning.It demonstrates the experiment conducted in two freshman classes in a university.The two classes used the same textbook supported by audio CD containing the recorded material.The experiment class,however,additionally has some visuals in listening classes to strengthen the linguistic input.The research lasted for one semester and findings from the study show that multimodal input has significantly improved the listening and speaking abilities of the students and also has positive impacts on the learners’attitudes towards language study.
基金This work was supported,in part,by the National Nature Science Foundation of China under grant numbers 62272236in part,by the Natural Science Foundation of Jiangsu Province under grant numbers BK20201136,BK20191401in part,by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund.
文摘Gesture recognition technology enables machines to read human gestures and has significant application prospects in the fields of human-computer interaction and sign language translation.Existing researches usually use convolutional neural networks to extract features directly from raw gesture data for gesture recognition,but the networks are affected by much interference information in the input data and thus fit to some unimportant features.In this paper,we proposed a novel method for encoding spatio-temporal information,which can enhance the key features required for gesture recognition,such as shape,structure,contour,position and hand motion of gestures,thereby improving the accuracy of gesture recognition.This encoding method can encode arbitrarily multiple frames of gesture data into a single frame of the spatio-temporal feature map and use the spatio-temporal feature map as the input to the neural network.This can guide the model to fit important features while avoiding the use of complex recurrent network structures to extract temporal features.In addition,we designed two sub-networks and trained the model using a sub-network pre-training strategy that trains the sub-networks first and then the entire network,so as to avoid the subnetworks focusing too much on the information of a single category feature and being overly influenced by each other’s features.Experimental results on two public gesture datasets show that the proposed spatio-temporal information encoding method achieves advanced accuracy.
